class_docstr: Generate views by applying a sequence of transformations (augmentations) on 
  given batched graphs. Class objects callable via method :meth:`views_fn`.
  
  Args:
      fn_sequence (list): A list of callable view generation functions (classes).
code: def __init__(self, fn_sequence):
      self.fn_sequence = fn_sequence
  
file_path: DIG/dig/sslgraph/method/contrastive/views_fn/combination.py
imports: import random
  from torch_geometric.data import Batch
label_desc: Use image node_id 1 to create a new Sequential object  with example: obj = Sequential(fn_sequence)